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Nourani C.F. (Ed.) Artificial Intelligence and Computing Logic: Cognitive Technology for AI Business Analytics

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Nourani C.F. (Ed.) Artificial Intelligence and Computing Logic: Cognitive Technology for AI Business Analytics
Apple Academic Press, Inc., 2022. — 286 p. — (Innovation Management and Computing). — ISBN 9781774630112.
Искусственный интеллект и вычислительная логика: Когнитивная технология для бизнес-аналитики ИИ
Focusing on the cutting-edge applications of AI cognitive computing from neuromorphic to quantum cognition as applied to AI business analytics, this new volume explores AI’s importance in managing cognitive processes along with ontological modeling concepts for venturing into new business frontiers. The volume presents a selection of significant new accomplishments in the areas of AI cognitive computing ranging from neurocognition perception and decision-making in the human brain—combining neurocognitive techniques and effective computing—to basic facial recognition computing models.
Topics include
Agent neurocomputing techniques for facial expression recognition
Computing haptic motion and ontology epistemic
Characterizations of morph schemas for visual analytics
Learning and perceptive computing
Functional and structural neuroimaging modeling
Observed links between facial recognition and affective emotional processes
Interaction of cognitive and emotional processes during social decision-making
Neurocognitive processing of emotional facial expressions in individuals
Neurocognitive affective system for emotive robot androids
Virtual reality-based affect adaptive neuromorphic computing
Fundamental Notions and Applications of Symbiotic Recursive Pulsative Systems
Cognitive Computing: Quo Vadis?
Digital Transformations Imperatives: Predictive Goal Processes for Business Model Innovation
Toward a Quantum Theory of Cognitive Affect from Poe to Robotic Helpers: Newton, Arousal, and Covalent Bonding
AI Predictive Digital Analytics: A Model Computing Basis
Effect of Digitization on Business Model Innovation
AI Process Description Algebras and Ontology Preservation Techniques
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